prikaz prve stranice dokumenta Automatsko označavanje i analiza teksta za LARSP hrvatskog jezika
  Download
PDF 905.27 KB
master's thesis
Automatsko označavanje i analiza teksta za LARSP hrvatskog jezika
Zagreb: University of Zagreb, University of Zagreb, Faculty of Humanities and Social Sciences, 2019. urn:nbn:hr:131:378134
Tot, Bruno
University of Zagreb
Faculty of Humanities and Social Sciences
Department of information and Communication sciences
University of Zagreb
Faculty of Humanities and Social Sciences
Department of Phonetics

Institutional repository: ODRAZ

Cite this document

Tot, B. (2019). Automatsko označavanje i analiza teksta za LARSP hrvatskog jezika (Master's thesis). Zagreb: University of Zagreb, Faculty of Humanities and Social Sciences; Zagreb: University of Zagreb, Faculty of Humanities and Social Sciences. Retrieved from https://urn.nsk.hr/urn:nbn:hr:131:378134

Tot, Bruno. "Automatsko označavanje i analiza teksta za LARSP hrvatskog jezika." Master's thesis, University of Zagreb, Faculty of Humanities and Social Sciences; University of Zagreb, Faculty of Humanities and Social Sciences, 2019. https://urn.nsk.hr/urn:nbn:hr:131:378134

Tot, Bruno. "Automatsko označavanje i analiza teksta za LARSP hrvatskog jezika." Master's thesis, University of Zagreb, Faculty of Humanities and Social Sciences; University of Zagreb, Faculty of Humanities and Social Sciences, 2019. https://urn.nsk.hr/urn:nbn:hr:131:378134

Tot, B. (2019). 'Automatsko označavanje i analiza teksta za LARSP hrvatskog jezika', Master's thesis, University of Zagreb, Faculty of Humanities and Social Sciences; University of Zagreb, Faculty of Humanities and Social Sciences, accessed 12 October 2024, https://urn.nsk.hr/urn:nbn:hr:131:378134

Tot B. Automatsko označavanje i analiza teksta za LARSP hrvatskog jezika [Master's thesis]. Zagreb: University of Zagreb, Faculty of Humanities and Social Sciences; Zagreb: University of Zagreb, Faculty of Humanities and Social Sciences; 2019 [cited 2024 October 12] Available at: https://urn.nsk.hr/urn:nbn:hr:131:378134

B. Tot, "Automatsko označavanje i analiza teksta za LARSP hrvatskog jezika", Master's thesis, University of Zagreb, Faculty of Humanities and Social Sciences, Zagreb; University of Zagreb, Faculty of Humanities and Social Sciences, Zagreb, 2019. Available at: https://urn.nsk.hr/urn:nbn:hr:131:378134

Metadata
TitleAutomatsko označavanje i analiza teksta za LARSP hrvatskog jezika
Title (english)Automatic text markup and analysis for LARSP of Croatian language
AuthorBruno Tot
MentorNikolaj Lazić (mentor)
MentorVesna Mildner (mentor)
Committee memberDiana Tomić (predsjednik povjerenstva)
Committee memberVesna Mildner (član povjerenstva)
Committee memberNikolaj Lazić (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Humanities and Social Sciences
(Department of information and Communication sciences)
Zagreb
GranterUniversity of Zagreb
Faculty of Humanities and Social Sciences
(Department of Phonetics)
Zagreb
Defense date and country2019-11-06, Croatia
Scientific / art field,
discipline and subdiscipline		SOCIAL SCIENCES
Information and Communication Sciences
Scientific / art field,
discipline and subdiscipline		HUMANISTIC SCIENCES
Philology
Phonetics
Abstract
Govor je jedan od najznačajnijih načina ljudske komunikacije. Govor i jezik se zajedno razvijaju od rođenja – prvo slušanjem, a zatim imitacijom. Kao i sve ljudske osobine, podložni su poremećajima i oštećenjima. Neka od njih se mogu rehabilitirati zbog čega je važno što prije ih detektirati. U tu svrhu je razvijen LARSP – lingvistički protokol koji objedinjuje procjenu, rehabilitaciju i probir tj. praćenje kako bi omogućio točnu dijagnozu i uspješnu rehabilitaciju. Temelji se na gramatičkoj analizi transkribiranog dječjeg govora. Ručna analiza većeg korpusa teksta dugotrajna je i podložna ljudskim pogreškama. LARSPTool je alat razvijen kako bi olakšao taj postupak. Automatska predobrada i prikupljanje podataka znatno ubrzavaju analizu i omogućuju analizu mnogo većeg korpusa. LARSPTool također uvodi standard i jednoličnost obrade i prikaza podataka što otvara daljnje mogućnosti za praćenje trendova razvoja govora i jezika kod djece kroz generacije. Trenutna verzija ima integriranu podršku za hrvatski, a kasnije verzije bit će modularne. Također, dostupna je samo za Windows operativne sustave, ali postoji mogućnost razvoja verzija i za druge platforme.
Abstract (english)
Speech is one of the most significant methods of human communication. Speech and language start developing together from birth – first by listening then by imitation. Like all human characteristics it is subject to disorders and defects. Some of them can be remedied which is why it is important to detect them as soon as possible. To that end LARSP was developed – a linguistic protocol which unifies assessment, remediation and screening in order to enable correct diagnosis and successful remediation. It is based on grammatical analysis of transcribed children’s speech. Manual analysis of a larger corpus of text is time-consuming and susceptible 32 to human error. LARSPTool is a tool developed to facilitate that process. Automatic preprocessing and data gathering significantly speed up analysis and enable analysis of a much larger corpus. LARSPTool also introduces a standard and uniformity to both data processing and presentation which opens up further possibilities of tracking children’s speech and language development trends over generations. The current version has integrated support for Croatian but later versions will be modular. Also, it is only available for Windows operating systems but there is a possibility of developing versions for other platforms as well.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:131:378134
Study programmeTitle: Information Sciences; specializations in: Computer Science (Teaching, Research), Informatology
Course: Computer Science (Teaching, Research)
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra informacijskih znanosti (magistar/magistra informacijskih znanosti)
Study programmeTitle: Phonetics (double major); specializations in: Clinical Phonetics, Rhetoric, General Phonetics
Course: General Phonetics
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra edukacije fonetike (magistar/magistra edukacije fonetike)
Type of resourceText
File originBorn digital
Access conditionsOpen access
Terms of useLicence In copyright icon
Created on2020-01-09 14:19:40